I am a Carnegie Mellon University graduate with a Bachelor's degree in Computer Science, class of 2020. During my time at CMU, I served as a teaching assistant for the data structures course across seven semesters, including four semesters as a lead TA. This role involved leading recitations, holding office hours, grading assignments, and mentoring students through complex concepts. It helped me build a strong foundation in explaining challenging material clearly and tailoring instruction to...
I am a Carnegie Mellon University graduate with a Bachelor's degree in Computer Science, class of 2020. During my time at CMU, I served as a teaching assistant for the data structures course across seven semesters, including four semesters as a lead TA. This role involved leading recitations, holding office hours, grading assignments, and mentoring students through complex concepts. It helped me build a strong foundation in explaining challenging material clearly and tailoring instruction to fit different learning styles.
Since graduating, I’ve continued to develop my teaching skills in my role as a software engineer by mentoring interns and guiding college students through technical projects, interview preparation, and advanced problem-solving. I focus on helping students build confidence through a structured, patient approach that emphasizes clarity and foundational understanding. My goal is always to help students not just get the right answer, but understand why it’s right.
I also work with high school students in computer science, calculus, physics, statistics, linear algebra, and discrete math. Whether a student is preparing for AP exams, struggling with classroom content, or looking to get ahead, I aim to equip them with a strong problem-solving mindset and a toolbox of strategies they can apply independently. I'm comfortable working with students at all levels and bring a supportive, encouraging style to every session to help them stay motivated and succeed.